Search results for "formal languages"

showing 10 items of 322 documents

On modal mu-calculus over finite graphs with bounded strongly connected components.

2010

For every positive integer k we consider the class SCCk of all finite graphs whose strongly connected components have size at most k. We show that for every k, the Modal mu-Calculus fixpoint hierarchy on SCCk collapses to the level Delta2, but not to Comp(Sigma1,Pi1) (compositions of formulas of level Sigma1 and Pi1). This contrasts with the class of all graphs, where Delta2=Comp(Sigma1,Pi1).

Strongly connected componentPure mathematicsComputer Science - Logic in Computer ScienceBounded functionlcsh:MathematicsModal μ-calculusComputer Science - Formal Languages and Automata Theorylcsh:Electronic computers. Computer sciencelcsh:QA1-939lcsh:QA75.5-76.95Mathematics
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Preventing Overlaps in Agglomerative Hierarchical Conceptual Clustering

2020

Hierarchical Clustering is an unsupervised learning task, whi-ch seeks to build a set of clusters ordered by the inclusion relation. It is usually assumed that the result is a tree-like structure with no overlapping clusters, i.e., where clusters are either disjoint or nested. In Hierarchical Conceptual Clustering (HCC), each cluster is provided with a conceptual description which belongs to a predefined set called the pattern language. Depending on the application domain, the elements in the pattern language can be of different nature: logical formulas, graphs, tests on the attributes, etc. In this paper, we tackle the issue of overlapping concepts in the agglomerative approach of HCC. We …

Structure (mathematical logic)Theoretical computer scienceComputer scienceConceptual clustering02 engineering and technologyDisjoint setsHierarchical clusteringSet (abstract data type)Pattern language (formal languages)ComputingMethodologies_PATTERNRECOGNITIONApplication domain020204 information systems0202 electrical engineering electronic engineering information engineeringUnsupervised learning020201 artificial intelligence & image processing
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Algorithmic Analysis of Programs with Well Quasi-ordered Domains

2000

AbstractOver the past few years increasing research effort has been directed towards the automatic verification of infinite-state systems. This paper is concerned with identifying general mathematical structures which can serve as sufficient conditions for achieving decidability. We present decidability results for a class of systems (called well-structured systems) which consist of a finite control part operating on an infinite data domain. The results assume that the data domain is equipped with a preorder which is a well quasi-ordering, such that the transition relation is “monotonic” (a simulation) with respect to the preorder. We show that the following properties are decidable for wel…

Theoretical computer scienceFinite-state machineReachability problemData domainPreorderPetri netComputer Science ApplicationsTheoretical Computer ScienceDecidabilityComputational Theory and MathematicsReachabilityMathematical structureComputer Science::Formal Languages and Automata TheoryInformation SystemsMathematicsInformation and Computation
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A Problem Structuring Method

1991

Given a formal definition of problem and a formal definition of system, the equivalence between both concepts is studied. Considering a problem as a 3-tuple , where D is the set of possible data, R is the set of possible results, and P the set of conditions of the problem, classes of problems are constructed as combinations of types of data, types of results and types of conditions. For example, data can be either literal or numerical, either with uncertainty or not; conditions can be determined by rules, tables, equations, it may have uncertainty, etc. As a case of application it is outlined how some of the most common problems (knowledge representation, search, reasoning and planning, etc…

Theoretical computer scienceKnowledge representation and reasoningSystems theoryUncertain dataDynamic problemComputer scienceEquivalence (formal languages)StructuringData typeComputer Science::DatabasesFormal description
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Multi-Dimensional motivic pattern extraction founded on adaptive redundancy filtering

2005

Abstract We present a computational model for discovering repeated patterns in symbolic representations of monodic music. Patterns are discovered through an incremental adaptive identification along a multi-dimensional parametric space. The difficulties of pattern discovery mainly come from combinatorial redundancies, that our model is able to control efficiently. A specificity relation is defined between pattern descriptions, unifying suffix and inclusion relations and enabling a filtering of redundant descriptions. Combinatorial proliferation caused by successive repetitions of patterns is managed using cyclic patterns. The modelling of these redundancy control mechanisms enables an autom…

Theoretical computer scienceVisual Arts and Performing ArtsRelation (database)Space (commercial competition)050105 experimental psychology060404 music[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]Redundancy (engineering)0501 psychology and cognitive sciencesControl (linguistics)MathematicsParametric statistics[INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL][SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing artsbusiness.industry05 social sciences06 humanities and the artsAutomation[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]Multi dimensionalNASuffixbusiness0604 artsMusic
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Descriptional and Computational Complexity of the Circuit Representation of Finite Automata

2018

In this paper we continue to investigate the complexity of the circuit representation of DFA—BC-complexity. We compare it with nondeterministic state complexity, obtain upper and lower bounds which differ only by a factor of 4 for a Binary input alphabet. Also we prove that many simple operations (determining if a state is reachable or if an automaton is minimal) are PSPACE-complete for DFA given in circuit representation.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFinite-state machineTheoretical computer scienceComputational complexity theoryComputer science020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyUpper and lower boundsAutomatonNondeterministic algorithmTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESSimple (abstract algebra)0202 electrical engineering electronic engineering information engineeringState (computer science)Representation (mathematics)Computer Science::Formal Languages and Automata Theory
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An Approximate Determinization Algorithm for Weighted Finite-State Automata

2001

Nondeterministic weighted finite-state automata are a key abstraction in automatic speech recognition systems. The efficiency of automatic speech recognition depends directly on the sizes of these automata and the degree of nondeterminism present, so recent research has studied ways to determinize and minimize them, using analogues of classical automata determinization and minimization. Although, as we describe here, determinization can in the worst case cause poly-exponential blowup in the number of states of a weighted finite-state automaton, in practice it is remarkably successful. In extensive experiments in automatic speech recognition systems, deterministic weighted finite-state autom…

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFinite-state machineTheoretical computer scienceGeneral Computer ScienceComputer scienceApplied MathematicsComputer Science ApplicationsAutomatonNondeterministic algorithmNondeterministic finite automaton with ε-movesComputer Science::SoundDeterministic automatonTheory of computationStandard testMinificationAlgorithmComputer Science::Formal Languages and Automata TheoryAlgorithmica
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Quantum versus Probabilistic One-Way Finite Automata with Counter

2001

The paper adds the one-counter one-way finite automaton [6] to the list of classical computing devices having quantum counterparts more powerful in some cases. Specifically, two languages are considered, the first is not recognizable by deterministic one-counter one-way finite automata, the second is not recognizable with bounded error by probabilistic one-counter one-way finite automata, but each recognizable with bounded error by a quantum one-counter one-way finite automaton. This result contrasts the case of one-way finite automata without counter, where it is known [5] that the quantum device is actually less powerful than its classical counterpart.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordComputer scienceTimed automatonBüchi automatonω-automatonNondeterministic finite automaton with ε-movesTuring machinesymbols.namesakeDFA minimizationDeterministic automatonContinuous spatial automatonQuantum finite automataDeterministic system (philosophy)Two-way deterministic finite automatonNondeterministic finite automatonDiscrete mathematicsFinite-state machineQuantum dot cellular automatonNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonProbabilistic automatonsymbolsAutomata theoryComputer Science::Formal Languages and Automata TheoryQuantum cellular automaton
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Multiple Usage of Random Bits in Finite Automata

2012

Finite automata with random bits written on a separate 2-way readable tape can recognize languages not recognizable by probabilistic finite automata. This shows that repeated reading of random bits by finite automata can have big advantages over one-time reading of random bits.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordFinite-state machineTheoretical computer scienceKolmogorov complexityComputer scienceω-automatonNonlinear Sciences::Cellular Automata and Lattice GasesBit fieldTuring machinesymbols.namesakeTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESsymbolsQuantum finite automataAutomata theoryArithmeticComputer Science::DatabasesComputer Science::Formal Languages and Automata Theory
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Tally languages accepted by Monte Carlo pushdown automata

1997

Rather often difficult (and sometimes even undecidable) problems become easily decidable for tally languages, i.e. for languages in a single-letter alphabet. For instance, the class of languages recognizable by 1-way nondeterministic pushdown automata equals the class of the context-free languages, but the class of the tally languages recognizable by 1-way nondeterministic pushdown automata, contains only regular languages [LP81]. We prove that languages over one-letter alphabet accepted by randomized one-way 1-tape Monte Carlo pushdown automata are regular. However Monte Carlo pushdown automata can be much more concise than deterministic 1-way finite state automata.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESNested wordTheoretical computer scienceComputational complexity theoryComputer scienceDeterministic pushdown automatonTuring machinesymbols.namesakeRegular languageComputer Science::Logic in Computer ScienceQuantum finite automataNondeterministic finite automatonDiscrete mathematicsFinite-state machineDeterministic context-free languageComputabilityDeterministic context-free grammarContext-free languagePushdown automatonAbstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Cone (formal languages)Embedded pushdown automatonUndecidable problemNondeterministic algorithmTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESDeterministic finite automatonsymbolsComputer Science::Programming LanguagesAlphabetComputer Science::Formal Languages and Automata Theory
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